Cloud Computing & DevOps Engineer • Chennai, India

Jeevanandam M

Aspiring Cloud & DevOps Engineer with hands-on AWS DevOps training and practical experience architecting cloud-native microservices applications using AWS, Linux, Docker, Kubernetes, and automated CI/CD pipelines.

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Microservices Deployed
B.E. CGPA (out of 10)
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AWS Services & Tools
Jeevanandam M - Cloud & DevOps Engineer
Open to Opportunities
Chennai
ABOUT ME

Building Cloud Foundations
That Scale Reliably.

Electronics & Instrumentation Engineer

I'm Jeevanandam M, an Electronics and Instrumentation Engineering graduate based in Chennai, specializing in Cloud Computing and DevOps Engineering.

Through hands-on AWS DevOps training and practical microservices projects, I have developed strong foundational expertise in provisioning cloud infrastructure, automated application deployment, load balancing, security configuration, and real-time monitoring.

AWS DevOps Trained
Linux Administration
Container Microservices
CI/CD Pipeline Setup

Cloud Infrastructure

Building & deploying scalable AWS EC2, VPC, S3 & RDS environments.

Containerization

Dockerizing microservices and managing clusters with Kubernetes.

IAM & Security

Configuring fine-grained IAM policies, Security Groups & Cognito authentication.

Monitoring & Ops

CloudWatch metric alarms, Nginx reverse proxying & PM2 process supervision.

CAREER & EXPERIENCE

Hands-On Work & Training Experience

AWS DevOps Training & Practical Project Work

Cloud & DevOps Technical Program
Recent / OngoingChennai, India
  • Architected and deployed a multi-tier microservices e-commerce application utilizing AWS EC2, VPC, ALB, Auto Scaling, and RDS.
  • Configured Nginx reverse proxying and PM2 process management for high availability and automatic application restart.
  • Implemented secure AWS IAM roles, custom VPC subnets, route tables, and granular Security Group rules for network isolation.
  • Gained hands-on experience containerizing application workloads using Docker and managing container deployments with Kubernetes.
  • Monitored server health, network traffic, and system metrics via AWS CloudWatch alarms and custom logs.
TECHNICAL EXPERTISE

Skills, Tools & App Ecosystem

Hands-on experience with modern cloud infrastructure, container orchestration, CI/CD automation, and web application stacks.

AWS Cloud
AWS Cloud
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins
Ansible
Ansible
Nginx
Nginx
Node.js
Node.js
Next.js
Next.js
Linux
Linux
Git
Git
AWS Cloud
AWS Cloud
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins
Ansible
Ansible
Nginx
Nginx
Node.js
Node.js
Next.js
Next.js
Linux
Linux
Git
Git
AWS Cloud
AWS Cloud
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins
Ansible
Ansible
Nginx
Nginx
Node.js
Node.js
Next.js
Next.js
Linux
Linux
Git
Git
AWS Cloud
AWS Cloud
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins
Ansible
Ansible
Nginx
Nginx
Node.js
Node.js
Next.js
Next.js
Linux
Linux
Git
Git

AWS Cloud Services

Amazon EC2
EC2
Amazon S3
S3
AWS VPC
VPC
AWS RDS
RDS
Application Load Balancer
ALB
AWS Auto Scaling
Auto Scaling
Amazon CloudWatch
CloudWatch
AWS IAM
IAM
AWS Route 53
Route 53
AWS CloudFront
CloudFront
AWS Cognito
Cognito
Elastic Block Store
EBS

DevOps & Development Tools

Docker Containerization
Docker
Kubernetes Orchestration
Kubernetes
Jenkins CI/CD
Jenkins
Ansible Automation
Ansible
Nginx Web Server
Nginx
Node.js Runtime
Node.js
Next.js React Framework
Next.js
Git Source Control
Git / GitHub
Linux OS
Linux / Ubuntu
Bash Terminal CLI
SSH / CLI
JavaScript ES6+
JavaScript
FEATURED WORK & ARCHITECTURE

Cloud Projects & System Architecture

Real deployment architectures, Kubernetes containerization, and production cloud infrastructure on AWS.

KUBERNETES & CONTAINER ORCHESTRATION

Guess the Number Gaming App – AWS EKS

Built and deployed a simple Python Flask "Guess the Number" gaming application on Amazon EKS using Docker and Kubernetes.

Kubernetes & Containerization

Guess the Number Gaming App – AWS EKS

Built and deployed a simple Python Flask "Guess the Number" gaming application on Amazon EKS using Docker and Kubernetes. Automated ingress routing through the AWS Load Balancer Controller with zero downtime deployment.

Python Flask web application containerized with Docker & pushed to Amazon ECR
Kubernetes Deployment with 2 replicas & NodePort Service in gaming namespace
AWS Load Balancer Controller installed via Helm provisioning internet-facing ALB
Configured OIDC & IAM roles for service account permissions
GitHub Repository
PythonFlaskDockerKubernetesAWS EKSAmazon ECR

Cluster Management & Networking

Engineered a secure custom VPC with public and private subnets, NAT Gateway, dedicated EC2 management host, and AWS Application Load Balancer for internet traffic.

Custom Multi-AZ VPC & NAT Gateway
Dedicated EC2 Management Host (kubectl, Helm, eksctl)
OIDC Provider & IAM Role Controller Integration
Private Worker-Node Isolated Networking
EC2VPCIAMHelmAWS Load Balancer ControllerApplication Load Balancer
AWS EKS DEPLOYMENT SCHEMATIC

Guess the Number Application – Architecture on AWS EKS

Traditional AWS Load Balancer Controller Method • Developer → ECR → EKS → Ingress → ALB → Internet Users

Guess the Number Application – Architecture on AWS EKS
Click to Expand Architecture Diagram
MICROSERVICES & CLOUD OPERATIONS

Cloud-Native E-Commerce Microservices Platform

Architected and deployed a multi-service e-commerce platform using decoupled User, Product, and Order microservices with a modern Next.js frontend application.

Cloud-Native Deployment

Cloud-Native E-Commerce Microservices Platform

Architected and deployed a multi-service e-commerce platform using decoupled User, Product, and Order microservices with a modern Next.js frontend application.

Decoupled Node.js REST API microservices architecture
Managed PostgreSQL database instance via AWS RDS
Automated process management with PM2 and zero downtime
AWS EC2VPCRDSALBAuto ScalingNginxPM2

Architecture & Cloud Operations

Configured VPC subnets, Application Load Balancers (ALB), and Auto Scaling groups to achieve high availability and fault-tolerant horizontal scaling under dynamic user traffic.

Nginx Reverse Proxy & SSL Termination
Multi-AZ VPC & Security Group Isolation
CloudWatch Real-Time Alarms & Logging
Node.jsNext.jsGitHubReverse ProxyLoad Balancing
AWS DEPLOYMENT SCHEMATIC

Cloud-Native Microservices Architecture Diagram

Cloud-Native E-Commerce Microservices AWS Architecture Diagram
Click to Expand Architecture Diagram
ACADEMIC BACKGROUND

Education & Qualifications

Bachelor of Engineering (B.E.)

Electronics & Instrumentation Engineering

CGPA: 7.75 / 10
Focus: Embedded Systems, Signal Processing, Control Automation
Specialized Transition to Cloud Computing & DevOps
LET'S CONNECT

Open to New Cloud Opportunities

Seeking an entry-level Cloud Computing or DevOps Engineering opportunity to apply AWS, Linux, automation, and infrastructure skills.

Contact Information

Direct Engagement

Interested in discussing Cloud & DevOps roles, AWS infrastructure setup, or reviewing my portfolio code? Send a direct email or message.

© 2026 Jeevanandam M. All rights reserved.

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